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Last modified: 22 May 2019 17:07

Course Overview

The aim of this course is to get an understanding of applied probability and statistics. Students will be able to handle variables of a random nature, deal with parameters of different distributions and data of scattering nature.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
  • Dr Srinivas Sriarmula

What courses & programmes must have been taken before this course?

  • Engineering (EG) (Studied)
  • Any Postgraduate Programme (Studied)

What other courses must be taken with this course?


What courses cannot be taken with this course?

  • EG5012 Stats for Safety (Studied)

Are there a limited number of places available?


Course Description

This course provides mathematical foundation of the probabilistic analysis of random variables. The course is an extension to the undergraduate level of the subject. This course is a pre-requisite for the module on Advanced Methods for Risk and Reliability Assessment.

The following modules will be covered in the course:

1. Revision of elementary concepts in statistics and probability.

2. Important uni-variate distributions.

3. The bi-variate and multi-variate normal distribution.

4. Parameter estimation and goodness-of-fit.

5. Analysis of statistical data.

6. Treatment of outliers.

7. Analysis of variance.

8. Introduction to continuous and discrete stochastic processes.

Further Information & Notes

For students studying for the MSc Safety & Reliability Engineering and the MSc Safety & Reliability Engineering for Oil and Gas  

In light of Covid-19 this information is indicative and may be subject to change.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 1 Lecture during University weeks 7 - 17
  • 1 Tutorial during University weeks 8 - 17

More Information about Week Numbers

In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

1st attempt: 20% coursework, 80% final exam.

Resit: The re-sit will comprise of re-doing the failed element/s (exam and/or coursework assessment/s) from the 1st attempt with a maximum CGS mark of D3. The marks for other elements (successfully passed) will be carried over. Resit mark of either RP or RF will be recorded.

Formative Assessment

There are no assessments for this course.


A whole-class feedback is provided via MyAberdeen. Students are encouraged to contact the course coordinator for individual feedback.

Course Learning Outcomes


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